ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development.

Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.

Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.

In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.

Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.

Requirements:

To qualify, you must possess:

A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field

Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.

Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program.

With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer

located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)

The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.

The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.

Requirements:

We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.

We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.

How to Apply:

Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.

Information about the institute:

The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.

Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main

Employer: The German Institute for International Educational Research (DIPF)

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.

Job Description:

At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an

The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).

The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.

The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).

Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.

How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.

Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main

Employer: The German Institute for International Educational Research (DIPF)

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.

Job Description:

At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a

Research Scientist (two-year contract, full time, EG13 TV-H*)

for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.

The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013 at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education. The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.

The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.

The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management.

A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

Requirements:

- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
- Very good English language skills (written and spoken) and at least basic skills in German;
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
- Experience in coordinating distributed software development and its Integration;
- Experience in conceptualising and conducting events for scientists, users, and the public.
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.

Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.

How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.

The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.

Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.

Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.

All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.

Fluency in Chinese is an advantage, but not required.

How to Apply:

All candidates should send detailed curriculum vitae, and at least three letters of recommendation to

Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.

The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.

The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.

The ideal appointee will conduct development and extensive testing of:

general-purpose software to support symbolic-level computation over gradient symbol structures

new theories of compositional vector-space semantics and new neural-network architectures for implementing them

new psycholinguistic models of human syntactic production and comprehension processes

Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.

The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.

How to Apply:

Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.

The successful candidate will conduct research in automatic speech recognition and dialog-centered natural language understanding. He/she will participate in the design, development, and exploration of innovative methods, algorithms and techniques that bridge acoustic/language modeling and dialogue-focused natural language understanding on real-world, multi-party speech data collected in educational contexts.

The position is for two years (providing renewal based on Year 1 performance) starting as early as February 1, 2014. Possible extension to a third year based on availability of funds. Start date is negotiable.
Competitive salary with benefits commensurate with qualifications.

Required Qualifications:

Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field

Research experience in one or more of the following research areas (automatic speech recognition, natural language understanding, or related area of natural language processing)

A solid publication track record in one or more of the aforementioned areas

Ability to work both individually and as a member of an interdisciplinary team

Ability to mentor graduate and undergraduate students

How to Apply:

Applicants should email (1) cover letter, (2) current CV, and (3) name, title, and contact information of three references to Kristopher Kopp (kristopherkopp at gmail.com). Inquires may be addressed to Sidney D’Mello (sdmello at nd.edu) and Andrew Olney (aolney at memphis.edu).

About Us:

Further information on the Computer Science department can be found at http://cse.nd.edu/.

This is an opportunity to work on cutting edge technology in a dynamic team
of world-class experts. This is a temporary position for 9 months, with a
possibility of extension. The position is based in London.

The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics Technology Lab to conduct scientific research in the areas of bioinformatics and genomics, specifically related to automated analysis and annotation of cancer research literature.

The successful applicant will work with trainees and research scientists in a team that develops tools for a clinical genomics pipeline based on primary sequence analysis, to build machine learning tools that interpret identified mutations for their biological significance as they relate to reports in the relevant literature.

Duties:

Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your typical duties will include the following:

• Building machine learning tools for automated literature survey

• Analysis and annotation of data from genome and transcriptome sequencing projects

• Collaborating with biologists and clinical researchers on the accuracy of the results

• Reporting research methods and results in meetings, seminars and conferences

• Contribution to and leading scientific publications and research proposals

Work may also involve travel to the research and development labs of a US corporation, not to exceed three months a year.

Required Qualifications:

The ideal candidate should possess a PhD degree and recent proven experience in bioinformatics or computer science. A strong publication record in the field, and demonstrated technical writing skills are highly desirable.

How to Apply:

Please send your resume with cover letter to bcgscjobs@bcgsc.ca

We request that you specify the position you are applying for by identifying the Job Code only ("PDFBTL 13-11-01") in the subject line of your emailed application.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

About Us:

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

Bioinformatics Technology Lab at the Genome Sciences Centre is seeking graduate students at the Masters and PhD levels.
Under the supervision of Dr. Inanc Birol, students will work with other trainees and research scientists in a group environment to develop cutting-edge bioinformatics technologies for high throughput sequence analysis, de novo assembly, clinical genomics, big data visualization, and automated literature search and interpretation.

Required Qualifications:

If you have any combination of the following skills, and a passion to apply them at a state-of-the-art genome centre, we would be interested in you.

• Database development and administration experience (PostgreSQL or MySQL)

How to Apply:

Please send your cover letter, CV and transcripts to ibirol@bcgsc.ca

Successful students will be registered at either CIHR’s Bioinformatics Training Program or Medical Genetics Graduate Program at the University of British Columbia.

About Us:

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

Postdoc job available in neural decoding of language, University of Rochester

A postdoctoral position is available in the Department of Brain & Cognitive Sciences at the University of Rochester in the lab of Rajeev Raizada (http://raizadalab.org).

The position will concentrate on the neural decoding of language, in particular the semantic representation of words embedded in sentences. Experience in some or all of the following areas would be ideal: computational linguistics (especially models of the semantic composition of multiple words into phrases and sentences), natural language processing, multivoxel pattern-based fMRI analysis, machine learning (especially kernels or similarity-based approaches). Experience with Matlab or some other scientific programming language (e.g. SciPy, R) is required.

Required Qualifications:

Applicants must have a PhD in linguistics, psychology, computer science, neuroscience or a related field. Salary will be on the standard NIH postdoc payscale. The position is available immediately and has funding for a two year period, although it could potentially be extended beyond that time if mutually agreed and if additional funding is obtained.

How to apply:

To apply, please send a description of your research interests, a CV, the names of three referees, and weblinks to representative publications to rajeev dot raizada at gmail dot com. Large files such as PDFs of papers should be sent as weblinks (e.g. to your publications webpage, or using Dropbox) rather than as e.mail attachments. Interviews can be conducted via Skype.

Information about the university and the department

The Department of Brain & Cognitive Sciences at the University of Rochester (http://www.bcs.rochester.edu) has a strong focus on computational and statistical studies of neural representations, and has researchers working in language, vision, computation, development and neuroimaging. The Rochester Center for Brain Imaging (http://rcbi.rochester.edu) has a research-dedicated 3T Siemens Trio scanner.

The Natural Language Processing group in the School of Computer Engineering, Nanyang Technological University, Singapore has an opening for a post-doctoral researcher in the areas of ontology engineering and text mining, funded by Rolls-Royce@NTU Corporate Laboratory.

The position involves applying scientific, technical and software engineering skills to conduct research on ontology learning, ontological annotation on informal text, and semantic indexing and search and the development of prototypes demonstrating the successful application of the research.

Required Qualifications:

A Ph. D. in Computational Linguistics, Computer Science, or a related discipline with specialization in text mining and/or ontology engineering. Independent research experiences and experiences in developing and deploying text mining and/or ontology engineering technology capabilities in an academic or industrial environment are expected.

How to apply:

Please send a copy of your resume, along with a cover letter, to Jung-jae Kim <jungjae.kim@ntu.edu.sg>

The Department of English at the Rochester Institute of Technology invites applications for an Assistant Professor of English tenure-track position to begin August 13, 2014 with specialization in computational linguistics and/or innovative technical methods in language science, with a focus on one or more areas of application. Possible areas include:

Cultural or social analytics

Speech technology

Human-computer communication

Clinical, assistive, and/or access technology

Cognitive modeling of linguistic processes (for example reading)

Games and/or social media

The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on curricular and research initiatives in digital humanities and language science.

Detailed Job Description:

The successful applicant will be a teacher and a researcher with an agenda that emphasizes innovative technical methods in linguistics, for instance natural language processing, corpus-based studies, linguistic/multimodal sensors, speech technology, and/or other computational approaches. We are seeking a scholar who engages in disciplinary and interdisciplinary teamwork and has a coherent plan for grant seeking activities. The right candidate will contribute to our department’s profile in the digital humanities, in addition to furthering our interdisciplinary language science curriculum in a college of liberal arts at a technical university. Contributions that build students’ global education experiences are additionally valued.

Teaching assignments may include Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Advanced Topics in Computational Linguistics, Language & Brain, self-designed courses, and other courses in the linguistics or general education frameworks such as Dialects & Identity, Text & Code, or Evolving English Language. The course teaching load is 3/2.

We are seeking an individual who has the ability and interest in contributing to a community committed to Student Centeredness; Professional Development and Scholarship; Integrity and Ethics; Respect, Diversity and Pluralism; Innovation and Flexibility; and Teamwork and Collaboration. Select to view links to RIT’s core values, honor code, and diversity commitment.

The University and Rochester Community:

RIT is a national leader in professional and career-oriented education. Talented, ambitious, and creative students of all cultures and backgrounds from all 50 states and more than 100 countries have chosen to attend RIT. Founded in 1829, Rochester Institute of Technology is a privately endowed, coeducational university with nine colleges and institutes emphasizing career education and experiential learning. With approximately 15,000 undergraduates and 3,000 graduate students, RIT is one of the largest private universities in the nation. RIT offers a rich array of degree programs in engineering, science, business, and the arts, and is home to the National Technical Institute for the Deaf. RIT has been honored by The Chronicle of Higher Education as a "Great Colleges to Work For" for four years. RIT is responsive to the needs of dual career couples by our membership in the Upstate NY HERC.

Rochester, located on Lake Ontario, is the 79th largest city in the United States and the third largest city in New York State. The Greater Rochester region, which is home to nearly one million people, is rich in cultural and ethnic diversity, with a population comprised of approximately 16% African and Latin Americans and another 7% of international origin. It is also home to the largest deaf community per capita in the U.S. Rochester ranks 3rd best metropolitan regions for Raising a Family" by Forbes Magazine; 6th among 379 metropolitan areas as "Best Places to Live in America" by Places Rated Almanac; 1st in Expansion Management Magazine’s ranking of metropolitan areas having the best “Quality of Life in the Nation”; and is among Essence Magazine’s "Top 10 Cities for Black Families."

Required Minimum Qualifications:

Ph.D. in Linguistics (or an allied field) in hand prior to appointment date